Pierre Lepagnol
commited on
Commit
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38b3e84
1
Parent(s):
a3ba818
remove census
Browse files- agnews/train.json +2 -2
- census/label.json +0 -3
- census/readme.txt +0 -20
- census/test.json +0 -3
- census/train.json +0 -3
- census/valid.json +0 -3
agnews/train.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:6aa806387c07ad0ee53d3ecebcc47dc0c22c2961cd34e248656d32441ba079a3
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size 28043077
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census/label.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:1c4df3fa608a7267ffd05b4c01e43a137f8f5356386b900566e1aff3b7af9cb6
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size 34
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census/readme.txt
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Census income classification
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http://archive.ics.uci.edu/ml/datasets/Census+Income
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Label:
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Negative : person earns lees than or equal to 50K
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Positive : person earns more than 50k
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Rules:
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For this case we created the rules synthetically as follows:
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We hold out disjoint 16k random points from the training dataset as a proxy for human knowledge and extract a PART decision list from it as our set of rules. We retain only
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those rules which fire on L.
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https://mathematicaforprediction.wordpress.com/2014/03/30/classification-and-association-rules-for-census-income-data/
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census/test.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:a47dd6436974a1277e443cc4fcef641ff8fd6052dfe19ba7df3b80ba58b14d12
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size 60700301
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census/train.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:e0a17137af9d912090886b5b4427cd0eb5a58c49cde6cfea748d86d29ff24c7b
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size 37587925
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census/valid.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:79a58b9023e30fd0ea23cf215b8546d93ee188373ba1768741c9f93e884ae76f
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size 20729303
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